HP HP ProDesk 400 G4 SFF
Geekbench AI Score
1281
Single Precision Score
446
Half Precision Score
1480
Quantized Score
Geekbench AI 1.0.0 Corporate for Windows AVX2
Result Information
| Upload Date | August 11 2024 05:22 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | ONNX |
| Backend | CPU |
| Device | Intel Core i5-7500 |
| System Information | |
|---|---|
| Operating System | Microsoft Windows 10 Pro (64-bit) |
| Model | HP HP ProDesk 400 G4 SFF |
| Motherboard | HP 82A2 |
| Power Plan | Balanced |
| CPU Information | |
|---|---|
| Name | Intel Core i5-7500 |
| Topology | 1 Processor, 4 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 9 |
| Base Frequency | 3.41 GHz |
| Cluster 1 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 8.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
779
144.8 IPS |
|
|
Image Classification (HP)
|
100% |
93
17.2 IPS |
|
|
Image Classification (Q)
|
97% |
1161
216.6 IPS |
|
|
Image Segmentation (SP)
|
100% |
553
8.96 IPS |
|
|
Image Segmentation (HP)
|
100% |
133
2.15 IPS |
|
|
Image Segmentation (Q)
|
97% |
1036
16.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
2493
2.91 IPS |
|
|
Pose Estimation (HP)
|
100% |
2232
2.60 IPS |
|
|
Pose Estimation (Q)
|
87% |
4768
5.63 IPS |
|
|
Object Detection (SP)
|
100% |
752
59.7 IPS |
|
|
Object Detection (HP)
|
100% |
125
9.91 IPS |
|
|
Object Detection (Q)
|
86% |
835
67.2 IPS |
|
|
Face Detection (SP)
|
100% |
857
10.2 IPS |
|
|
Face Detection (HP)
|
100% |
169
2.00 IPS |
|
|
Face Detection (Q)
|
96% |
1598
19.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
2489
19.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
577
4.44 IPS |
|
|
Depth Estimation (Q)
|
76% |
2408
19.4 IPS |
|
|
Style Transfer (SP)
|
100% |
5887
7.57 IPS |
|
|
Style Transfer (HP)
|
100% |
5098
6.55 IPS |
|
|
Style Transfer (Q)
|
87% |
5941
7.73 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
1162
42.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
1000
36.9 IPS |
|
|
Image Super-Resolution (Q)
|
97% |
1576
58.4 IPS |
|
|
Text Classification (SP)
|
100% |
1125
1.50 KIPS |
|
|
Text Classification (HP)
|
100% |
489
652.3 IPS |
|
|
Text Classification (Q)
|
97% |
351
469.7 IPS |
|
|
Machine Translation (SP)
|
100% |
904
15.6 IPS |
|
|
Machine Translation (HP)
|
100% |
372
6.41 IPS |
|
|
Machine Translation (Q)
|
60% |
837
18.7 IPS |
